Java, BigQuery, Hadoop, C++, Scala, Kafka, Hive, MLops, Spark, Databricks, Python, Kubernetes, Airflow, Go, HDFS, Delta Lake, CI/CD

snowflake , Apache Airflow, Tableau, Oracle, Sql, Python, Etl, ELT, dbt, Cloud Data Warehouses

PostgreSQL, Apache Airflow, Nlp, Hl7, MongoDB, Python, Etl, LangChain, FHIR, Milvus Vector DB, GraphRAG, RAG, Azure technology stack, LlamaIndex

Pyspark, Sql, Terraform, Gitlab, Databricks, Azure cloud services, Python, Azure DevOps, MERGE INTO, GitHub Actions, DataOps, Delta Lake, CI/CD

Orchestration, Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Streaming, Python, AWS, Sdp, Apache Spark, Sql, Databricks, Etl, data integration patterns, Debezium, Lakehouse architecture, Lakeflow Connect, cloud-native data services, Schema Registry, Auto Loader, production-grade data pipelines, Unity Catalog, Spark Declarative Pipelines, Karapace, Databricks Asset Bundles, Kafka Connect, Delta Lake, CI/CD

bigtable , Pyspark, PostgreSQL, Kafka, Avro, Cloud Storage, Terraform, Docker, Elasticsearch, Python, Spark SQL, Java, BigQuery, Google Cloud Platform, Scala, Apache Spark, Dataproc, Sql, Oop, DataFlow, Kubernetes, Airflow, Pub Sub, Cloud Composer, Parquet

Performance Tuning, Dimensional Modeling, Python, Sql, Airflow, warehouse-native SQL patterns, DWH testing and automation frameworks, dbt

snowflake , Terraform, Snowpipe, Kafka, Sql, Python, AWS, Airflow, cdc, dbt

snowflake , Performance Tuning, Data Modeling, Azure Data Factory, Gitlab, Azure, AWS, Airflow, Apache Iceberg, Data Quality standards, Lakehouse architectures, Data Validation, CI CD, Workflow orchestration, dbt, Scalable data product development, workload management, Metadata-driven pipelines

snowflake , Alteryx, Tableau, Data Modeling, ELT, Python, AWS, Hadoop, Power Bi, Sql, Hive, Gcp, Data Governance, Databricks, Azure, Etl, Aws S3, Airflow, orchestration tools, monitoring frameworks, CI CD, Prefect, automation practices, data lifecycle management, data quality observability, DataOps, Dagster